Physics‐Based <scp>AI</scp> ‐Augmented Workflows Discovering Candidate Graphene Quantum Dot Near‐Infrared Chromophores

Naga Mani Gajula, Muhammad Hammad Ali, Md. Masud Rana, Benjamin G. Janesko

Open source

DOI: 10.1002/jcc.70522
Published: 2026-11-02
Container: Journal of Computational Chemistry
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/jcc.70522,
  title = {Physics‐Based
                    <scp>AI</scp>
                    ‐Augmented Workflows Discovering Candidate Graphene Quantum Dot Near‐Infrared Chromophores},
  author = {Naga Mani Gajula and Muhammad Hammad Ali and Md. Masud Rana and Benjamin G. Janesko},
  year = {2026},
  journal = {Journal of Computational Chemistry},
  doi = {10.1002/jcc.70522},
  url = {https://doi.org/10.1002/jcc.70522}
}

RIS

TY  - JOUR
TI  - Physics‐Based
                    <scp>AI</scp>
                    ‐Augmented Workflows Discovering Candidate Graphene Quantum Dot Near‐Infrared Chromophores
AU  - Naga Mani Gajula
AU  - Muhammad Hammad Ali
AU  - Md. Masud Rana
AU  - Benjamin G. Janesko
PY  - 2026
JO  - Journal of Computational Chemistry
DO  - 10.1002/jcc.70522
UR  - https://doi.org/10.1002/jcc.70522
ER  -

APA

Gajula, N. M., Ali, M. H., Rana, M. M., & Janesko, B. G. (2026). Physics‐Based <scp>AI</scp> ‐Augmented Workflows Discovering Candidate Graphene Quantum Dot Near‐Infrared Chromophores. Journal of Computational Chemistry. https://doi.org/10.1002/jcc.70522

Source records

crossref · retrieved 2026-11-05T13:02:00.736Z